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Algorithms for nonnegative matrix factorization with the beta-divergence
v1v2v3 (latest)

Algorithms for nonnegative matrix factorization with the beta-divergence

8 October 2010
Cédric Févotte
Jérôme Idier
ArXiv (abs)PDFHTML

Papers citing "Algorithms for nonnegative matrix factorization with the beta-divergence"

50 / 132 papers shown
Title
Sketching Merge Trees for Scientific Data Visualization
Sketching Merge Trees for Scientific Data Visualization
Mingzhe Li
Sourabh Palande
Lin Yan
Bei Wang
62
8
0
08 Jan 2021
Multiplicative Updates for NMF with $β$-Divergences under Disjoint
  Equality Constraints
Multiplicative Updates for NMF with βββ-Divergences under Disjoint Equality Constraints
Valentin Leplat
Nicolas Gillis
Jérôme Idier
52
11
0
30 Oct 2020
Algorithms for Nonnegative Matrix Factorization with the
  Kullback-Leibler Divergence
Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence
L. Hien
Nicolas Gillis
79
59
0
05 Oct 2020
Deep matrix factorizations
Deep matrix factorizations
Pierre De Handschutter
Nicolas Gillis
Xavier Siebert
BDL
128
47
0
01 Oct 2020
Rank-one partitioning: formalization, illustrative examples, and a new
  cluster enhancing strategy
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy
Charlotte Laclau
F. Iutzeler
I. Redko
11
0
0
01 Sep 2020
Prediction of Cancer Microarray and DNA Methylation Data using
  Non-negative Matrix Factorization
Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization
Parth Patel
K. Passi
Chakresh Kumar Jain
12
0
0
15 Jul 2020
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing
Valentin Leplat
Nicolas Gillis
Cédric Févotte
38
13
0
08 Jul 2020
Noise-Robust Adaptation Control for Supervised Acoustic System
  Identification Exploiting A Noise Dictionary
Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting A Noise Dictionary
Thomas Haubner
Andreas Brendel
Mohamed Elminshawi
Walter Kellermann
71
11
0
03 Jul 2020
A Speech Enhancement Algorithm based on Non-negative Hidden Markov Model
  and Kullback-Leibler Divergence
A Speech Enhancement Algorithm based on Non-negative Hidden Markov Model and Kullback-Leibler Divergence
Yang Xiang
Liming Shi
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
18
1
0
30 Jun 2020
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative
  Matrix Factorization
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization
Louis Filstroff
Olivier Gouvert
Cédric Févotte
Olivier Cappé
29
0
0
23 Jun 2020
Using Stable Matching to Optimize the Balance between Accuracy and
  Diversity in Recommendation
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation
Farzad Eskandanian
B. Mobasher
18
20
0
05 Jun 2020
Ordinal Non-negative Matrix Factorization for Recommendation
Ordinal Non-negative Matrix Factorization for Recommendation
Olivier Gouvert
Thomas Oberlin
Cédric Févotte
75
17
0
01 Jun 2020
Station-to-User Transfer Learning: Towards Explainable User Clustering
  Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix
  Factorization
Station-to-User Transfer Learning: Towards Explainable User Clustering Through Latent Trip Signatures Using Tidal-Regularized Non-Negative Matrix Factorization
Liming Zhang
Andreas Zufle
Dieter Pfoser
14
2
0
27 Apr 2020
Supervised Quantile Normalization for Low-rank Matrix Approximation
Supervised Quantile Normalization for Low-rank Matrix Approximation
Marco Cuturi
O. Teboul
Jonathan Niles-Weed
Jean-Philippe Vert
44
3
0
08 Feb 2020
Online Spectrogram Inversion for Low-Latency Audio Source Separation
Online Spectrogram Inversion for Low-Latency Audio Source Separation
P. Magron
Tuomas Virtanen
57
12
0
08 Nov 2019
End-to-end Non-Negative Autoencoders for Sound Source Separation
End-to-end Non-Negative Autoencoders for Sound Source Separation
Shrikant Venkataramani
Efthymios Tzinis
Paris Smaragdis
80
5
0
31 Oct 2019
A Recurrent Variational Autoencoder for Speech Enhancement
A Recurrent Variational Autoencoder for Speech Enhancement
Simon Leglaive
Xavier Alameda-Pineda
Laurent Girin
Radu Horaud
DRL
140
79
0
24 Oct 2019
Probabilistic sequential matrix factorization
Probabilistic sequential matrix factorization
Ömer Deniz Akyildiz
Gerrit J. J. van den Burg
Theodoros Damoulas
M. Steel
53
2
0
09 Oct 2019
A Flexible Framework for Anomaly Detection via Dimensionality Reduction
A Flexible Framework for Anomaly Detection via Dimensionality Reduction
A. V. Sadr
Bruce A. Bassett
M. Kunz
25
15
0
09 Sep 2019
Audio-visual Speech Enhancement Using Conditional Variational
  Auto-Encoders
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders
M. Sadeghi
Simon Leglaive
Xavier Alameda-Pineda
Laurent Girin
Radu Horaud
DiffM
108
66
0
07 Aug 2019
Learning Multimorbidity Patterns from Electronic Health Records Using
  Non-negative Matrix Factorisation
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation
A. Hassaine
D. Canoy
J. R. A. Solares
Yajie Zhu
Shishir Rao
Yikuan Li
Mariagrazia Zottoli
K. Rahimi
G. Salimi-Khorshidi
49
28
0
19 Jul 2019
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
Blind Audio Source Separation with Minimum-Volume Beta-Divergence NMF
Valentin Leplat
Nicolas Gillis
A. Ang
64
54
0
04 Jul 2019
Adversarial Learning for Improved Onsets and Frames Music Transcription
Adversarial Learning for Improved Onsets and Frames Music Transcription
Jong Wook Kim
J. P. Bello
163
49
0
20 Jun 2019
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization
Shuai Wang
Tsung-Hui Chang
Ying Cui
J. Pang
109
32
0
03 Jun 2019
Scale Invariant Power Iteration
Scale Invariant Power Iteration
Cheolmin Kim
Youngseok Kim
Diego Klabjan
63
3
0
23 May 2019
Recommendation from Raw Data with Adaptive Compound Poisson
  Factorization
Recommendation from Raw Data with Adaptive Compound Poisson Factorization
Olivier Gouvert
Thomas Oberlin
Cédric Févotte
44
12
0
20 May 2019
Non-negative matrix factorization based on generalized dual divergence
Non-negative matrix factorization based on generalized dual divergence
K. Devarajan
18
0
0
16 May 2019
Power of the Few: Analyzing the Impact of Influential Users in
  Collaborative Recommender Systems
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems
Farzad Eskandanian
Nasim Sonboli
B. Mobasher
TDI
15
12
0
14 May 2019
Unsupervised Low Latency Speech Enhancement with RT-GCC-NMF
Unsupervised Low Latency Speech Enhancement with RT-GCC-NMF
Sean U. N. Wood
Jean Rouat
33
18
0
05 Apr 2019
Multi-modal Blind Source Separation with Microphones and Blinkies
Multi-modal Blind Source Separation with Microphones and Blinkies
Robin Scheibler
Nobutaka Ono
18
6
0
04 Apr 2019
Decomposing Temperature Time Series with Non-Negative Matrix
  Factorization
Decomposing Temperature Time Series with Non-Negative Matrix Factorization
P. Weiderer
A. Tomé
E. Lang
AI4CE
16
4
0
03 Apr 2019
A Ranking Model Motivated by Nonnegative Matrix Factorization with
  Applications to Tennis Tournaments
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
Rui Xia
Vincent Y. F. Tan
Louis Filstroff
Cédric Févotte
25
1
0
15 Mar 2019
Bayesian Allocation Model: Inference by Sequential Monte Carlo for
  Nonnegative Tensor Factorizations and Topic Models using Polya Urns
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns
A. Cemgil
M. Burak Kurutmaz
S. Yıldırım
Melih Barsbey
Umut Simsekli
77
6
0
11 Mar 2019
Capuchin: Causal Database Repair for Algorithmic Fairness
Capuchin: Causal Database Repair for Algorithmic Fairness
Babak Salimi
Luke Rodriguez
Bill Howe
Dan Suciu
FaMLCML
166
30
0
21 Feb 2019
Speech enhancement with variational autoencoders and alpha-stable
  distributions
Speech enhancement with variational autoencoders and alpha-stable distributions
Simon Leglaive
Umut Simsekli
Antoine Liutkus
Laurent Girin
Radu Horaud
DRL
55
36
0
08 Feb 2019
Matrix Cofactorization for Joint Representation Learning and Supervised
  Classification -- Application to Hyperspectral Image Analysis
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
A. Lagrange
M. Fauvel
S. May
J. Bioucas-Dias
N. Dobigeon
33
2
0
07 Feb 2019
A variance modeling framework based on variational autoencoders for
  speech enhancement
A variance modeling framework based on variational autoencoders for speech enhancement
Simon Leglaive
Laurent Girin
Radu Horaud
DRL
71
91
0
05 Feb 2019
Distributionally Robust and Multi-Objective Nonnegative Matrix
  Factorization
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization
Nicolas Gillis
L. Hien
Valentin Leplat
Vincent Y. F. Tan
OOD
53
13
0
30 Jan 2019
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization
Alberto Lumbreras
Louis Filstroff
Cédric Févotte
68
15
0
17 Dec 2018
A Quasi-Newton algorithm on the orthogonal manifold for NMF with
  transform learning
A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning
Bo Dai
Dylan Fagot
Arthur Gretton
Dale Schuurmans
Cédric Févotte
33
6
0
06 Nov 2018
Exact multiplicative updates for convolutional $β$-NMF in 2D
Exact multiplicative updates for convolutional βββ-NMF in 2D
Pedro J. Villasana T.
V. Manna
13
1
0
05 Nov 2018
STFT spectral loss for training a neural speech waveform model
STFT spectral loss for training a neural speech waveform model
Shinji Takaki
Toru Nakashika
Xin Wang
Junichi Yamagishi
75
21
0
29 Oct 2018
Switching divergences for spectral learning in blind speech
  dereverberation
Switching divergences for spectral learning in blind speech dereverberation
F. Ibarrola
L. D. Persia
Rubén D. Spies
17
3
0
19 Sep 2018
Generalized Canonical Polyadic Tensor Decomposition
Generalized Canonical Polyadic Tensor Decomposition
David Hong
T. Kolda
J. Duersch
85
125
0
22 Aug 2018
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
A Survey on Surrogate Approaches to Non-negative Matrix Factorization
Pascal Fernsel
Peter Maass
22
5
0
06 Aug 2018
Semi-blind source separation with multichannel variational autoencoder
Semi-blind source separation with multichannel variational autoencoder
Hirokazu Kameoka
Li Li
S. Inoue
S. Makino
BDL
54
30
0
02 Aug 2018
Factor analysis of dynamic PET images: beyond Gaussian noise
Factor analysis of dynamic PET images: beyond Gaussian noise
Y. C. Cavalcanti
Thomas Oberlin
N. Dobigeon
Cédric Févotte
S. Stute
M. Ribeiro
C. Tauber
33
10
0
30 Jul 2018
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
103
64
0
17 May 2018
Accelerating Nonnegative Matrix Factorization Algorithms using
  Extrapolation
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation
A. Ang
Nicolas Gillis
69
45
0
17 May 2018
Alpha-Beta Divergence For Variational Inference
Alpha-Beta Divergence For Variational Inference
Jean-Baptiste Regli
Ricardo M. A. Silva
BDL
145
24
0
02 May 2018
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